Predicting relapse with individual residual symptoms in major depressive disorder: a reanalysis of the STAR*D data

Predicting relapse with individual residual symptoms in major depressive disorder: a reanalysis... Psychopharmacology (2017) 234:2453–2461 DOI 10.1007/s00213-017-4634-5 ORIGINAL INVESTIGATION Predicting relapse with individual residual symptoms in major depressive disorder: a reanalysis of the STAR*D data 1 1 1,2 1 Hitoshi Sakurai & Takefumi Suzuki & Kimio Yoshimura & Masaru Mimura & 1,3 Hiroyuki Uchida Received: 11 August 2016 /Accepted: 20 April 2017 /Published online: 3 May 2017 Springer-Verlag Berlin Heidelberg 2017 Abstract p = 0.001), sleep onset insomnia (HR = 1.129, p =0.047), Background Residual symptoms are detrimental to prognosis and weight change (HR = 1.125, p =0.045). in major depressive disorder (MDD); however, little is known Limitations The original trial was not designed to evaluate the about the contribution of each residual symptom in predicting issue addressed herein. Individual symptoms may be associ- outcomes. The objective of this analysis was to identify which ated with each other and functional status was not addressed. individual symptoms, based on self-report and clinician inter- Conclusions Some residual symptoms, including restless- ness, insomnia, and weight change, may help better identify view, could predict subsequent relapse. Methods The data of 1133 outpatients with nonpsychotic patients with MDD vulnerable to relapse. Contribution of in- MDD who entered a 12-month naturalistic follow-up phase dividual residual symptoms to http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Psychopharmacology Springer Journals

Predicting relapse with individual residual symptoms in major depressive disorder: a reanalysis of the STAR*D data

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag Berlin Heidelberg
Subject
Biomedicine; Neurosciences; Pharmacology/Toxicology; Psychiatry
ISSN
0033-3158
eISSN
1432-2072
D.O.I.
10.1007/s00213-017-4634-5
Publisher site
See Article on Publisher Site

Abstract

Psychopharmacology (2017) 234:2453–2461 DOI 10.1007/s00213-017-4634-5 ORIGINAL INVESTIGATION Predicting relapse with individual residual symptoms in major depressive disorder: a reanalysis of the STAR*D data 1 1 1,2 1 Hitoshi Sakurai & Takefumi Suzuki & Kimio Yoshimura & Masaru Mimura & 1,3 Hiroyuki Uchida Received: 11 August 2016 /Accepted: 20 April 2017 /Published online: 3 May 2017 Springer-Verlag Berlin Heidelberg 2017 Abstract p = 0.001), sleep onset insomnia (HR = 1.129, p =0.047), Background Residual symptoms are detrimental to prognosis and weight change (HR = 1.125, p =0.045). in major depressive disorder (MDD); however, little is known Limitations The original trial was not designed to evaluate the about the contribution of each residual symptom in predicting issue addressed herein. Individual symptoms may be associ- outcomes. The objective of this analysis was to identify which ated with each other and functional status was not addressed. individual symptoms, based on self-report and clinician inter- Conclusions Some residual symptoms, including restless- ness, insomnia, and weight change, may help better identify view, could predict subsequent relapse. Methods The data of 1133 outpatients with nonpsychotic patients with MDD vulnerable to relapse. Contribution of in- MDD who entered a 12-month naturalistic follow-up phase dividual residual symptoms to

Journal

PsychopharmacologySpringer Journals

Published: May 3, 2017

References

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